Optimization of inverse one-qubit refrigerators

Abstract We study several optimal working regimes of one-qubit quantum refrigerators having one qubit at their cold side. We demonstrate that they can be optimized using the techniques of finite-time thermodynamics on the solutions of the Lindblad equation. Our results show that differently to what happens in classic refrigerators, in our quantum ones the optimization of the cooling power does not lead to an optimal working regime but that using the $$\Omega$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>Ω</mml:mi> </mml:math> function we can find it. Then, we generalize the study using a family of target functions defined by powers of the coefficient of performance times the cooling power to carry out a more general optimization. These last optimizations reveal the importance that every parameter defining the refrigerator has on the performance of the refrigerators when they work optimally.

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Publication Details

Journal
The European Physical Journal Plus
Published
2025-05-26
DOI
https://doi.org/10.1140/epjp/s13360-025-06313-0
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
1.32
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article

Optimization of inverse one-qubit refrigerators

J.J. Fernández
1 citations
The European Physical Journal Plus
Advanced Thermodynamics and Statistical Mechanics
1.32
article

Optimization of inverse one-qubit refrigerators

J.J. Fernández
article en
1 citations

Abstract

Abstract We study several optimal working regimes of one-qubit quantum refrigerators having one qubit at their cold side. We demonstrate that they can be optimized using the techniques of finite-time thermodynamics on the solutions of the Lindblad equation. Our results show that differently to what happens in classic refrigerators, in our quantum ones the optimization of the cooling power does not lead to an optimal working regime but that using the $$\Omega$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>Ω</mml:mi> </mml:math> function we can find it. Then, we generalize the study using a family of target functions defined by powers of the coefficient of performance times the cooling power to carry out a more general optimization. These last optimizations reveal the importance that every parameter defining the refrigerator has on the performance of the refrigerators when they work optimally.

The European Physical Journal PlusVol. 140(5)
Universidad Nacional de Educación a Distancia (ES)
Openalex Percentile: Top 19%
Advanced Thermodynamics and Statistical Mechanics
1.32
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Optimization of inverse one-qubit refrigerators — J.J. Fernández · The European Physical Journal Plus (2025) | TGRS Research Map | TGRS